Peng Guan

94 papers and 3.1k indexed citations i.

About

Peng Guan is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Peng Guan has authored 94 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 20 papers in Epidemiology and 14 papers in Infectious Diseases. Recurrent topics in Peng Guan’s work include Brucella: diagnosis, epidemiology, treatment (10 papers), Climate Change and Health Impacts (8 papers) and COVID-19 epidemiological studies (7 papers). Peng Guan is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (10 papers), Climate Change and Health Impacts (8 papers) and COVID-19 epidemiological studies (7 papers). Peng Guan collaborates with scholars based in China, United States and France. Peng Guan's co-authors include Baosen Zhou, Desheng Huang, Gary M. Clifford, Silvia Franceschi, Zhihua Yin, Laia Bruni, Rebecca Howell‐Jones, Ni Li, Sílvia de Sanjosé and Xuelian Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Co-authorship network of co-authors of Peng Guan i

Fields of papers citing papers by Peng Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng Guan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peng Guan. The network helps show where Peng Guan may publish in the future.

Countries citing papers authored by Peng Guan

Since Specialization
Citations

This map shows the geographic impact of Peng Guan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peng Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Guan more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025